|
Participated in
Data Science Hackathon - Cross-sell: target the right customer
|
|
Participated in
JanataHack: Mobility Analytics
|
|
Participated in
DataHour: From Pixels to Insights- Practical Hands-on with Convolutional Neural Networks
|
|
Participated in
DataHour: Implementing Gradient Descent in Python
|
|
Participated in
DataHour: Hands-on Journey to Neural Networks
|
|
Participated in
DataHour: How to Build a Multi Task Model using TensorFlow
|
|
Participated in
DataHour: Deep Learning for Time Series Forecasting
|
|
Participated in
DataHour: A Simple Guide to Deep Metric Learning
|
|
Participated in
DataHour: Contrastive Learning for Image Classification
|
|
Participated in
DataHour: An Introduction to Vision for Robotics
|
|
Participated in
DataHour: An Overview of Computer Vision
|
|
Participated in
DataHour: Introduction to Deep Learning with FastAI
|
|
Participated in
DataHour: Demystifying RCNN Family for Object Detection
|
|
Participated in
DataHour: Implementing a Neural Network using Pytorch
|
|
Participated in
DataHour: An Introduction to Google Vision API
|
|
Participated in
DataHour: Understanding Stable Diffusion & Prompt Engineering
|
|
Participated in
DataHour: Image Classification using Deep Learning Models
|
|
Participated in
DataHour: Building Efficient Convolution Networks for Image Classification Tasks
|
|
Participated in
The Young Optimization Crackerjack Contest by IEOR @ IITB & McKinsey Knowledge Centre India
|
|
Participated in
Felicity : Kings of Machine Learning
|
|
Participated in
Experiments with Data
|
|
Participated in
Data Science Hackathon: Churn Prediction
|
|
Participated in
Skilltest: Clustering
|
|
Participated in
Big Mart Sales Prediction
|
|
Participated in
Data Science Interview Preparation Test
|
|
Participated in
McKinsey Analytics Online Hackathon
|
|
Participated in
MiniHack: Machine Learning
|
|
Participated in
Skilltest: Ensemble Modeling
|
|
Participated in
JanataHack: Machine Learning for IoT
|
|
Participated in
Skilltest: Linear Regression
|
|
Participated in
JanataHack: Machine Learning for Banking
|
|
Participated in
LTFS Data Science FinHack 3
|
|
Participated in
Janatahack: Healthcare Analytics II
|
|
Participated in
HackLive 3: Guided Hackathon - NLP
|
|
Participated in
[Student DataFest 2018] Skilltest - Ensemble Learning
|
|
Participated in
[Student DataFest 2018] Skilltest - Intro to Machine Learning
|
|
Participated in
Janatahack: Healthcare Analytics
|
|
Participated in
JanataHack: Demand Forecasting
|
|
Participated in
JanataHack: Recommendation Systems
|
|
Participated in
Webinar: Getting Started with Recommendation Engines
|
|
Participated in
Janatahack: Customer Segmentation
|
|
Participated in
Janatahack: Machine Learning in Agriculture
|
|
Participated in
Janatahack: Independence Day 2020 ML Hackathon
|
|
Participated in
Janatahack: Cross-sell Prediction
|
|
Participated in
HackLive 2 - Guided Community Hackathon!
|
|
Participated in
HackLive - Guided Community Hackathon!
|
|
Participated in
HackLive 4: Guided Community Hackathon!
|
|
Participated in
All India Data Science - Student Scholarship Test
|
|
Participated in
DataHour: Efficient Implementations of Transformers
|
|
Participated in
DataHour: Deep Dive into Graph Neural Nets for Content NLP
|
|
Participated in
DataHour: Designing an end-to-end Neural Search Pipeline with Similarity Learning
|
|
Participated in
DataHour: Quantum Computing Simulator Acceleration
|
|
Participated in
DataHour: Leveraging GCP Vertex AI for Machine Learning
|
|
Participated in
DataHour: Stirring up Data Science with SQL
|
|
Participated in
DataHour: MLOps—DevOps for Machine Learning
|
|
Participated in
DataHour: Introduction to Explainable AI (XAI)
|
|
Participated in
DataHour: Think like a Data Scientist
|
|
Participated in
DataHour: Analyzing Movie Data using MongoDB
|
|
Participated in
DataHour: Prediction to Production in Machine Learning
|
|
Participated in
DataHour: Trees of Data Science
|
|
Participated in
DataHour: Dynamic Time Warping for Time Series Classification
|
|
Participated in
DataHour: Deep Dive into Practical Machine Learning with Career Insights
|
|
Participated in
DataHour: Data Operations on Azure
|
|
Participated in
DataHour: Jumpstart your Career with AWS AI/ML
|
|
Participated in
DataHour: Nirvana State of MLOps
|
|
Participated in
DataHour: Introduction to GAN - A Practical Approach
|
|
Participated in
DataHour: Product Oriented Data Scientists
|
|
Participated in
DataHour: Key steps for Designing Deep Neural Network and its scope in Industry
|
|
Participated in
DataHour: Anomaly detection using NLP and Predictive Modeling
|
|
Participated in
DataHour: Data Science in Retail
|
|
Participated in
DataHour: Data Science Data management using Pandas
|
|
Participated in
DataHour: Mitigating Bias in Machine Learning
|
|
Participated in
DataHour: Google Cloud AI/ML
|
|
Participated in
DataHour: Forecasting Stories
|
|
Participated in
DataHour: Explainable AI - Need and Implementation
|
|
Participated in
DataHour: Energy Data Science - Project From Scratch
|
|
Participated in
DataHour: Getting Started with EDA tools - Numpy and Pandas
|
|
Participated in
DataHour: Practical Applications of Data science in Ecommerce
|
|
Participated in
DataHour: The Fundamentals of Quantum Computing
|
|
Participated in
DataHour: How to tackle Overfitting?
|
|
Participated in
DataHour: Hands-on with A/B Testing
|
|
Participated in
DataHour: Key steps for Designing Artificial Neural Network (ANN) for Image classification
|
|
Participated in
DataHour: Building Data Pipelines on GCP
|
|
Participated in
DataHour: Modern Deep Learning Architecture
|
|
Participated in
DataHour: 5 things you should know about Azure SQL
|
|
Participated in
DataHour: Prediction to Production in Machine Learning
|
|
Participated in
DataHour: Time Series analysis using LSTM
|
|
Participated in
DataHour: AI & ML in the Automotive Industry
|
|
Participated in
DataHour: ETL Pipelines in GCP
|
|
Participated in
DataHour: Knowledge Graph Solutions using Neo4j
|
|
Participated in
DataHour: Practical Time Series Analysis
|
|
Participated in
DataHour: Building Machine Learning Models in BigQuery
|
|
Participated in
DataHour: Key steps for Designing Convolutional Neural Network(CNN) for Image Classification
|
|
Participated in
DataHour: DCNN for Machine RUL Prediction using Time-series Data
|
|
Participated in
DataHour: A Day in the Life of a Data Scientist
|
|
Participated in
DataHour: Classification ML Model from Scratch
|
|
Participated in
DataHour: NLP aspects in Telecommunication Industry
|
|
Participated in
DataHour: Intelligent Knowledge Mining with Azure NLP and Graph databases
|
|
Participated in
DataHour: Visualizing Data using Python
|
|
Participated in
DataHour: Getting Started with AWS EC2
|
|
Participated in
DataHour: Model Guesstimation (MLOps)
|
|
Participated in
DataHour: An Unsupervised ML approach using Clustering
|
|
Participated in
DataHour: M in ML stands for Math & Magic
|
|
Participated in
DataHour: Model Parameters vs Hyperparameters - Techniques in ML Engineering
|
|
Participated in
DataHour: Customizing Large Language Models GPT3 for Real-life Use Cases
|
|
Participated in
DataHour: Convolution Neural Network for Image Recognition
|
|
Participated in
DataHour: Diffusion Models for Generative Arts
|
|
Participated in
DataHour: Understanding the Basics of a Neural Network
|
|
Participated in
DataHour: GANs Revolutionizing the World!
|
|
Participated in
DataHour: Building & Deploying Deep Learning Models for Sentiment Analysis
|
|
Participated in
DataHour: Exploring the Fundamentals of DeepMatch
|
|
Participated in
DataHour: YOLO Object Detection using Python
|
|
Participated in
DataHour: Training Your First PyTorch Model
|
|
Participated in
DataHour: Deploying Models for Sentiment Analysis on Cloud
|
